clementbowe14 / clementbowe14/JobAppsAgentified

EXT-07: LinkedIn & Indeed Site Scrapers (Content Scripts)

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Phase 2: Use Cases
Dominant language
JavaScript
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Description

Objective

Create content scripts to target, extract, and transmit job details (title, company, description, requirements) from active pages on LinkedIn and Indeed.

Description

Write content scripts that run on LinkedIn and Indeed job detail pages. Implement robust selectors to read active DOM components (job description texts, company headers). Send this data back to the Side Panel/Service worker via extension message passing.

Acceptance Criteria (Subtasks)

  • Content script detects when a user is on a LinkedIn job details page or Indeed view-job page
  • Scrapes: jobTitle, companyName, jobDescriptionText, and location
  • Extracted data is sent to the extension using chrome.runtime.sendMessage
  • Side panel displays a blinking active icon "Job Detected: [Job Title] at [Company]" with a button to "Analyze Match" directly
  • CSS injects a subtle floating feedback badge on the page indicating active scraping status or match ready status

Files to Create

  • src/content/linkedin-scraper.js
  • src/content/indeed-scraper.js
  • src/content/toast.js

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading the extension's existing content-script and Side Panel/Service worker message flow, then review the requested files: src/content/linkedin-scraper.js, src/content/indeed-scraper.js, and src/content/toast.js. Verify behavior on LinkedIn and Indeed job pages by checking that the four job fields are extracted, sent with chrome.runtime.sendMessage, displayed in the Side Panel, and reflected by the floating feedback badge.

Written by the indexing model from the issue text.

Assessment

Tech stack
javascript
Domain
frontend
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
55/100

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